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Ali Rodan
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2020 – today
- 2024
- [j8]Malak Al-Hassan, Bilal Abu-Salih, Esra'a Alshdaifat, Ahmad A. Al-Oqaily
, Ali Rodan:
An Improved Fusion-Based Semantic Similarity Measure for Effective Collaborative Filtering Recommendations. Int. J. Comput. Intell. Syst. 17(1): 45 (2024) - [c10]Ali Rodan:
Reflected PSO for Robot Path Planning. EAIS 2024: 1-8 - 2020
- [j7]Mohammad A. Hassonah, Rizik M. H. Al-Sayyed, Ali Rodan, Ala' M. Al-Zoubi, Ibrahim Aljarah
An efficient hybrid filter and evolutionary wrapper approach for sentiment analysis of various topics on Twitter. Knowl. Based Syst. 192: 105353 (2020)
2010 – 2019
- 2019
- [j6]Duaa Elsarraj, Maha Al Qisi, Ali Rodan, Nadim Obeid, Ahmad Abdel-Aziz Sharieh, Hossam Faris:
Demystifying echo state network with deterministic simple topologies. Int. J. Comput. Sci. Eng. 19(3): 407-417 (2019) - [c9]Kefaya Qaddoum, Israr Ahmad, Yasir Javed, Ali Rodan:
An Enhanced Model for Abusive Behavior Detection in Social Network. EIDWT 2019: 465-471 - [c8]Maher Salem
Security Approach for In-Vehicle Networking Using Blockchain Technology. EIDWT 2019: 504-515 - [i2]Alaa F. Sheta, Nazeeh Ghatasheh, Hossam Faris, Ali Rodan:
Robotics Evolution: from Remote Brain to Cloud. CoRR abs/1901.03297 (2019) - 2018
- [c7]Ali Rodan, Pedro A. Castillo, Hossam Faris, Antonio Miguel Mora, Huthaifa Jawazneh
Forecasting Business Failure in Highly Imbalanced Distribution based on Delay Line Reservoir. ESANN 2018 - 2017
- [j5]Ali Rodan
Bidirectional reservoir networks trained using SVM + privileged information for manufacturing process modeling. Soft Comput. 21(22): 6811-6824 (2017) - [c6]Mais Haj Qasem
Empirical Evaluation of the Cycle Reservoir with Regular Jumps for Time Series Forecasting: A Comparison Study. CSOC (1) 2017: 115-124 - 2016
- [c5]Ali Rodan
Credit Risk Evaluation Using Cycle Reservoir Neural Networks with Support Vector Machines Readout. ACIIDS (1) 2016: 595-604 - 2015
- [c4]Dana Al Qudah
Personalized E-Advertisement and Experience: Recommending User Targeted Ads. ICEBE 2015: 56-61 - 2014
- [j4]Huanhuan Chen, Peter Tiño
Learning in the Model Space for Cognitive Fault Diagnosis. IEEE Trans. Neural Networks Learn. Syst. 25(1): 124-136 (2014) - 2013
- [j3]Peter Tiño
Short term memory in input-driven linear dynamical systems. Neurocomputing 112: 58-63 (2013) - 2012
- [b1]Ali Rodan:
Architectural designs of Echo State Network. University of Birmingham, UK, 2012 - [j2]Ali Rodan
Simple Deterministically Constructed Cycle Reservoirs with Regular Jumps. Neural Comput. 24(7): 1822-1852 (2012) - [c3]Peter Tiño, Ali Rodan:
Short Term Memory Quantifications in Input-Driven Linear Dynamical Systems. ESANN 2012 - [i1]Huanhuan Chen, Peter Tiño, Xin Yao, Ali Rodan:
Learning in the Model Space for Fault Diagnosis. CoRR abs/1210.8291 (2012) - 2011
- [j1]Ali Rodan
Minimum Complexity Echo State Network. IEEE Trans. Neural Networks 22(1): 131-144 (2011) - [c2]Ali Rodan, Peter Tiño:
Negatively Correlated Echo State Networks. ESANN 2011 - 2010
- [c1]Ali Rodan
Simple Deterministically Constructed Recurrent Neural Networks. IDEAL 2010: 267-274
Coauthor Index
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